OpenML
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A RapidMiner Workflow.
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Learner classif.randomForest from package(s) randomForest.
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Weka implementation of REPTree
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Learner classif.J48 from package(s) RWeka.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.rpart from package(s) rpart.
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Learner classif.binomial from package(s) stats.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner regr.rpart from package(s) rpart.
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Learner classif.boosting from package(s) adabag, rpart.
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Learner classif.cforest from package(s) party.
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Learner classif.ctree from package(s) party.
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Learner classif.extraTrees from package(s) extraTrees.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.lda from package(s) MASS.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
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Learner classif.logreg from package(s) stats.
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Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
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Learner classif.nnet from package(s) nnet.
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Learner classif.nnTrain from package(s) deepnet.
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Learner classif.OneR from package(s) RWeka.
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Learner classif.pamr from package(s) pamr.
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Learner classif.PART from package(s) RWeka.
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Learner classif.plr from package(s) stepPlr.
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Learner classif.plsdaCaret from package(s) caret.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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Learner classif.ranger from package(s) ranger.
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Learner classif.rda from package(s) klaR.
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Learner classif.rotationForest from package(s) rotationForest.
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Learner classif.saeDNN from package(s) deepnet.
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Learner classif.sda from package(s) sda.
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Learner classif.svm from package(s) e1071.
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Learner classif.xgboost from package(s) xgboost.
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Moa implementation of WeightedMajorityAlgorithm
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Learner regr.rpart from package(s) rpart.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.dbnDNN from package(s) deepnet.
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Learner classif.randomForest from package(s) randomForest.
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Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Learner classif.ksvm from package(s) kernlab.
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Learner classif.multinom from package(s) nnet.
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.nodeHarvest from package(s) nodeHarvest.
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Learner classif.probit from package(s) stats.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
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Learner classif.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
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Learner classif.ada from package(s) ada.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.lda from package(s) MASS.
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Learner classif.logreg from package(s) stats.
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Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
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Learner classif.multinom from package(s) nnet.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of CostSensitiveClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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example implementation description
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Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
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Learner classif.multinom from package(s) nnet.
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.neuralnet from package(s) neuralnet.
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Learner classif.ada from package(s) ada.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.bartMachine from package(s) bartMachine.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.bdk from package(s) kohonen.
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of AttributeSelectedClassifier
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Learner classif.randomForest from package(s) randomForest.
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Moa implementation of OzaBag
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Moa implementation of BLAST
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Moa implementation of WeightedEnsemble
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
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